Factors Affecting the Adoption of Cloud Based Learning Management System: A Decision Approach via Fuzzy Z-AHP

Authors

  • Daniela Halidini Qendraj Department of Mathematics, Faculty of Information Technology, University “Aleksander Moisiu” Durres, Durres, Albania
  • Evgjeni Xhafaj Department of Mathematics, Faculty of Mathematics and Physics Engineering, Polytechnic University of Tirana, Tirana, Albania
  • Robert Kosova Department of Mathematics, Faculty of Information Technology, University “Aleksander Moisiu” Durres, Durres, Albania
  • Neime Gjikaj Department of Mathematics, Faculty of Information Technology, University “Aleksander Moisiu” Durres, Durres, Albania

DOI:

https://doi.org/10.56345/ijrdv10n212

Keywords:

Fuzzy Z-AHP, cloud based learning, constructs, UTAUT2, fuzzy numbers

Abstract

Nowadays the evolution of the technologies regarding the online learning has influenced the field of education. The acceptance of a new technology is evaluated according the unified theory of acceptance and use of technology 2 (UTAUT2). The main aim of the study is to estimate the impact that has each of the constructs of the model UTAUT2 related with the behavioural intention of using a cloud based learning platform. The decision making methodology proposed in this study is fuzzy analytical hierarchic process with Z-numbers (Fuzzy Z-AHP). The data were collected through a survey of 400 samples from students of the University “Aleksander Moisiu” of Durres during 2020-2022. The findings of the research concluded that the most important construct of UTAUT2 is Habit. The findings help higher education policymakers to make better decisions related with the factors that influence most the cloud based learning management platform.

 

Received: 05 May 2022 / Accepted: 10 June 2023 / Published: 23 July 2023

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Published

2023-07-23

How to Cite

Halidini Qendraj, D., Xhafaj, E., Kosova, R., & Gjikaj, N. (2023). Factors Affecting the Adoption of Cloud Based Learning Management System: A Decision Approach via Fuzzy Z-AHP. Interdisciplinary Journal of Research and Development, 10(2), 82. https://doi.org/10.56345/ijrdv10n212

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Articles